{"schemaVersion":"jobsearcher.job.v1","id":"cfbb595ec8b57efa4a2a42e7","url":"https://jobsearcher.com/jobs/cfbb595ec8b57efa4a2a42e7","canonicalUrl":"https://jobsearcher.com/jobs/cfbb595ec8b57efa4a2a42e7","title":"Sr. Solutions Engineer","description":"Senior Solutions EngineerAbout the RoleRafay seeks a customer-focused, technically skilled Senior Solutions Engineer.. The role involves partnering with enterprise customers/Neo clouds to architect, deploy, and optimize cloud-native infrastructure using the Rafay platform and Kubernetes ecosystems, including GPU-accelerated environments for AI/ML and inference workloads.Key ResponsibilitiesCore Implementation ResponsibilitiesServe as primary technical lead for customer implementation engagementsPartner with customers on requirements gathering, architecture reviews, and solution designDesign and configure Rafay platform capabilities across public, private, and hybrid cloud environmentsTroubleshoot complex infrastructure, networking, Kubernetes, and virtualization issuesCollaborate with Customer Success, Product, and Engineering teams on technical challengesManage customer issues within SLAs while maintaining expectationsReproduce and analyze customer-reported issues; communicate findings to internal teamsDevelop technical documentation, implementation guides, and runbooksMentor junior engineers and contribute to process improvementsStay current on Rafay platform capabilities and emerging industry trendsGPU & AI/ML InfrastructureDeploy and configure GPU-accelerated Kubernetes clusters for AI/ML workloads, including GPU Operator, MIG, and SR-IOV setupImplement and validate LLM inference serving stacks (vLLM, TGI, Triton) during customer implementationsTroubleshoot GPU cluster health, utilization, and GPU fabric/networking issues (NCCL, RoCEv2)Configure GPU observability using DCGM, OpenTelemetry, and related monitoring toolingAdvise customers on distributed training and inference topology options for NVIDIA GPU infrastructure (H100/H200/B200)Minimum Qualifications8+ years of experience in customer-facing technical roles, including implementation or consultingHands-on AI/ML engineering experience with model inference and deployment workflowsHands-on experience with NVIDIA GPU infrastructure (H100/H200/B200 preferred)Familiarity with GPU Operator, MIG, SR-IOV, and GPU fabric/networking fundamentalsExperience with LLM inference serving frameworks such as vLLM, TGI, or TritonStrong Kubernetes and cloud-native environment expertiseExcellent written and verbal communication abilitiesDeep troubleshooting skills across networking, virtualization, container orchestration, and public cloud platformsInfrastructure automation and IaC (Terraform preferred) experience desiredLinux systems administration and distributed systems knowledgeProven ability to lead technical projects and manage multiple engagementsBachelor's degree in Computer Science, Engineering, IT, or equivalent experiencePreferred QualificationsExperience with Run:AI and Slurm for GPU schedulingGPU autoscaling and multi-tenant GPU isolation expertiseFamiliarity with DCGM-based GPU observability and Prometheus/Grafana dashboardsRelevant certifications (CKA, CKAD, or NVIDIA certificationsWhy Join Rafay?Rafay is at the forefront of GPU PaaS technologies and Kubernetes and we offer unique opportunities to join a winning team working on foundational technology for cloud and AI/ML services and enterprises. We work in a collaborative environment that rewards creative thinking and provides opportunities to advance professional careers in advanced technology development. On top of this we offer a fun and dynamic work environment, a competitive salary, robust benefits and attractive stock options. As the first of our kind, we are truly in a class of our own.","company":"Rafay","rawCompany":"rafay","city":"Mesa","state":"AZ","isRemote":false,"isActive":false,"createdAt":"2026-10-06T04:34:45.678Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1211.00","title":"Computer Systems Analysts","slug":"computer-systems-analysts"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Sr. Solutions Engineer","description":"Senior Solutions EngineerAbout the RoleRafay seeks a customer-focused, technically skilled Senior Solutions Engineer.. The role involves partnering with enterprise customers/Neo clouds to architect, deploy, and optimize cloud-native infrastructure using the Rafay platform and Kubernetes ecosystems, including GPU-accelerated environments for AI/ML and inference workloads.Key ResponsibilitiesCore Implementation ResponsibilitiesServe as primary technical lead for customer implementation engagementsPartner with customers on requirements gathering, architecture reviews, and solution designDesign and configure Rafay platform capabilities across public, private, and hybrid cloud environmentsTroubleshoot complex infrastructure, networking, Kubernetes, and virtualization issuesCollaborate with Customer Success, Product, and Engineering teams on technical challengesManage customer issues within SLAs while maintaining expectationsReproduce and analyze customer-reported issues; communicate findings to internal teamsDevelop technical documentation, implementation guides, and runbooksMentor junior engineers and contribute to process improvementsStay current on Rafay platform capabilities and emerging industry trendsGPU & AI/ML InfrastructureDeploy and configure GPU-accelerated Kubernetes clusters for AI/ML workloads, including GPU Operator, MIG, and SR-IOV setupImplement and validate LLM inference serving stacks (vLLM, TGI, Triton) during customer implementationsTroubleshoot GPU cluster health, utilization, and GPU fabric/networking issues (NCCL, RoCEv2)Configure GPU observability using DCGM, OpenTelemetry, and related monitoring toolingAdvise customers on distributed training and inference topology options for NVIDIA GPU infrastructure (H100/H200/B200)Minimum Qualifications8+ years of experience in customer-facing technical roles, including implementation or consultingHands-on AI/ML engineering experience with model inference and deployment workflowsHands-on experience with NVIDIA GPU infrastructure (H100/H200/B200 preferred)Familiarity with GPU Operator, MIG, SR-IOV, and GPU fabric/networking fundamentalsExperience with LLM inference serving frameworks such as vLLM, TGI, or TritonStrong Kubernetes and cloud-native environment expertiseExcellent written and verbal communication abilitiesDeep troubleshooting skills across networking, virtualization, container orchestration, and public cloud platformsInfrastructure automation and IaC (Terraform preferred) experience desiredLinux systems administration and distributed systems knowledgeProven ability to lead technical projects and manage multiple engagementsBachelor's degree in Computer Science, Engineering, IT, or equivalent experiencePreferred QualificationsExperience with Run:AI and Slurm for GPU schedulingGPU autoscaling and multi-tenant GPU isolation expertiseFamiliarity with DCGM-based GPU observability and Prometheus/Grafana dashboardsRelevant certifications (CKA, CKAD, or NVIDIA certificationsWhy Join Rafay?Rafay is at the forefront of GPU PaaS technologies and Kubernetes and we offer unique opportunities to join a winning team working on foundational technology for cloud and AI/ML services and enterprises. We work in a collaborative environment that rewards creative thinking and provides opportunities to advance professional careers in advanced technology development. On top of this we offer a fun and dynamic work environment, a competitive salary, robust benefits and attractive stock options. As the first of our kind, we are truly in a class of our own.","datePosted":"2026-10-06T04:34:45.678Z","dateModified":"2026-10-06T04:34:45.678Z","hiringOrganization":{"@type":"Organization","name":"Rafay","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mesa","addressRegion":"AZ","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"cfbb595ec8b57efa4a2a42e7"},"url":"https://jobsearcher.com/jobs/cfbb595ec8b57efa4a2a42e7"}}